Data Platform Engineer

Position: Data Platform Engineer

Location: Gurgaon (Onsite)

Experience: 4+ Years

Employment Type: Full-time

About the Role

We are looking for a Data Platform Engineer with strong expertise in AWS SysOps, Amazon Redshift, Kafka administration, and Terraform. This role will involve managing and optimizing cloud-based data platforms, ensuring seamless data flow, and maintaining high-performance, scalable infrastructure.

Key Responsibilities

Manage and operate AWS environments with a focus on high availability, security, and performance.

Administer and optimize Amazon Redshift clusters for analytics and data warehousing workloads.

Perform Kafka cluster administration, including configuration, monitoring, scaling, and troubleshooting.

Implement infrastructure as code using Terraform for consistent and repeatable deployments.

Monitor system health and proactively resolve operational issues.

Collaborate with data engineering and analytics teams to ensure smooth integration and data delivery.

Maintain documentation of system configurations, processes, and troubleshooting guides.

Required Skills & Qualifications

4+ years of experience in cloud infrastructure and data platform operations.

Strong hands-on experience in AWS SysOps administration.

Proven expertise in Amazon Redshift administration and performance tuning.

Proficient in Kafka administration (setup, scaling, monitoring, and troubleshooting).

Skilled in Terraform for infrastructure automation.

Familiarity with AWS services like EC2, S3, IAM, CloudWatch, Lambda, etc.

Strong problem-solving and analytical skills.

Excellent communication and collaboration abilities.

Nice-to-Have Skills

Experience with data ingestion/ETL pipelines.

Familiarity with big data tools (Spark, Glue, EMR).

Knowledge of containerization (Docker, Kubernetes).

Education

Bachelor’s degree in Computer Science, Information Technology, or equivalent practical experience.

Work Mode

Onsite – Gurgaon Office (Full-time presence required).